EconPapers    
Economics at your fingertips  
 

Modeling the evolution of membrane during cell adhesion on the nanostructured substrate

Kun Jin, Fang Yuan, Fengting Wang, Bingqi Zhang, Nanxin Li, Tongsheng Chen and Xinlei Li

Physica A: Statistical Mechanics and its Applications, 2024, vol. 635, issue C

Abstract: Using nanostructured substrates for enhancing cell adhesion is an important method. However, the physical mechanism of cell adhesion on nanostructured substrate is not well understood yet, particularly the evolution process of membrane during cell adhesion. Here, we propose an analytical model to study quantitatively the evolution of membrane during adhesion process on the nanostructured substrate. The effects of substrate surface topography, receptor-ligand binding, substrate property and membrane property were investigated. We found a small nanopillar radius, low nanopillar density, large binding rate, large receptor density, low non-specific energy, or large stretching modulus can result in a large adhesion rate and a large adhesion depth. Besides, the evolution of membrane on truncated nanocone arrays was also studied by the model. The theoretical results are in good agreement with the experimental observations, which implied that our studies can provide a useful guide to control cell adhesion process and cell motion on nanostructured substrates.

Keywords: Cell membrane; Nanostructured substrate; Cell adhesion; Receptor-ligand binding; Adhesion energy; Membrane tension; Membrane stretching (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437124000190
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:635:y:2024:i:c:s0378437124000190

DOI: 10.1016/j.physa.2024.129511

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:635:y:2024:i:c:s0378437124000190